Qubole Enhances Spark Performance with Dynamic Filtering, a SQL Join Optimization
|February 12, 2019
SQL join operators are ubiquitous. Users performing any ETL or interactive query like “show me all the people in Bangalore under age 30 who took…
Bharath Bhushan
Using Direct Writes to Significantly Increase the Performance of Spark Workloads
|January 24, 2019
Extract, Transform, Load (ETL) workloads are an important use case of Apache Spark for Qubole customers. In particular, the performance of INSERT INTO / OVERWRITE…
Qubole Announces Apache Spark on AWS Lambda
|November 22, 2017
Today, Qubole is announcing the availability of a working implementation of Apache Spark on AWS Lambda. This prototype has been able to show a successful…
SparkSQL in the Cloud: Optimized Split Computation
|August 30, 2016
When it comes to Big Data processing in the cloud compared to on-premise, one of the fundamental differences between the two is how the data…
